Evaluation of center of mass energetics during locomotion using computer vision

Yelós Tellagorry, Vanessa - Pequera, Germán - Biancardi, Carlo

Resumen:

Computer vision techniques have emerged as a reliable approach for estimating gait kinematics. However, the estimation of center of mass (CoM) energetic parameters using markerless methods remains unvalidated. This study assessed the accuracy of this techniques in estimating CoM energetic parameters by comparing them to a gold-standard motion capture system. Six subjects walked at different speeds on a treadmill while being recorded using both methods. CoM energetic parameters were computed and analysed to determine the error between approaches. Results showed relative errors below 5% for energy recovery during walking, suggesting that computer vision techniques hold promise for estimating CoM energetic parameters in gait analysis.

Detalles Bibliográficos
2025
Agencia Nacional de Investigación e Innovación
Markerless systems
Gait analysis
Ciencias Naturales y Exactas
Ciencias Biológicas
Biofísica
Ingeniería y Tecnología
Ingeniería Médica
Inglés
Agencia Nacional de Investigación e Innovación
REDI
https://hdl.handle.net/20.500.12381/5468
Acceso abierto
Reconocimiento 4.0 Internacional. (CC BY)
_version_ 1877833650744066048
author Yelós Tellagorry, Vanessa
author2 Pequera, Germán
Biancardi, Carlo
author2_role author
author
author_facet Yelós Tellagorry, Vanessa
Pequera, Germán
Biancardi, Carlo
author_role author
bitstream.checksum.fl_str_mv a4ce09f01b5dd771727aa05c73851623
9d1dddd0a858429fbdc9aa65ac833bc8
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
bitstream.url.fl_str_mv https://redi.anii.org.uy/jspui/bitstream/20.500.12381/5468/2/license.txt
https://redi.anii.org.uy/jspui/bitstream/20.500.12381/5468/1/ISB2025_Yelos_etal.pdf
collection REDI
dc.creator.none.fl_str_mv Yelós Tellagorry, Vanessa
Pequera, Germán
Biancardi, Carlo
dc.date.accessioned.none.fl_str_mv 2026-03-23T17:37:35Z
dc.date.available.none.fl_str_mv 2026-03-23T17:37:35Z
dc.date.issued.none.fl_str_mv 2025-07-27
dc.description.abstract.none.fl_txt_mv Computer vision techniques have emerged as a reliable approach for estimating gait kinematics. However, the estimation of center of mass (CoM) energetic parameters using markerless methods remains unvalidated. This study assessed the accuracy of this techniques in estimating CoM energetic parameters by comparing them to a gold-standard motion capture system. Six subjects walked at different speeds on a treadmill while being recorded using both methods. CoM energetic parameters were computed and analysed to determine the error between approaches. Results showed relative errors below 5% for energy recovery during walking, suggesting that computer vision techniques hold promise for estimating CoM energetic parameters in gait analysis.
dc.description.sponsorship.none.fl_txt_mv Agencia Nacional de Investigación e Innovación
dc.identifier.anii.es.fl_str_mv FMV_3_2024_1_180759
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12381/5468
dc.language.iso.none.fl_str_mv eng
dc.relation.none.fl_str_mv https://hdl.handle.net/20.500.12381/5485
https://hdl.handle.net/20.500.12381/5486
dc.rights.*.fl_str_mv Acceso abierto
dc.rights.license.none.fl_str_mv Reconocimiento 4.0 Internacional. (CC BY)
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.es.fl_str_mv XXX Congress of the International Society of Biomechanics. Estocolmo, Suecia, 2025
dc.source.none.fl_str_mv reponame:REDI
instname:Agencia Nacional de Investigación e Innovación
instacron:Agencia Nacional de Investigación e Innovación
dc.subject.anii.none.fl_str_mv Ciencias Naturales y Exactas
Ciencias Biológicas
Biofísica
Ingeniería y Tecnología
Ingeniería Médica
dc.subject.es.fl_str_mv Markerless systems
Gait analysis
dc.title.none.fl_str_mv Evaluation of center of mass energetics during locomotion using computer vision
dc.type.es.fl_str_mv Documento de conferencia
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.type.version.es.fl_str_mv Revisado
dc.type.version.none.fl_str_mv info:eu-repo/semantics/updatedVersion
description Computer vision techniques have emerged as a reliable approach for estimating gait kinematics. However, the estimation of center of mass (CoM) energetic parameters using markerless methods remains unvalidated. This study assessed the accuracy of this techniques in estimating CoM energetic parameters by comparing them to a gold-standard motion capture system. Six subjects walked at different speeds on a treadmill while being recorded using both methods. CoM energetic parameters were computed and analysed to determine the error between approaches. Results showed relative errors below 5% for energy recovery during walking, suggesting that computer vision techniques hold promise for estimating CoM energetic parameters in gait analysis.
eu_rights_str_mv openAccess
format conferenceObject
id REDI_ebb3d3f2b2dae58c27672c8b01f5aa4b
identifier_str_mv FMV_3_2024_1_180759
instacron_str Agencia Nacional de Investigación e Innovación
institution Agencia Nacional de Investigación e Innovación
instname_str Agencia Nacional de Investigación e Innovación
language eng
network_acronym_str REDI
network_name_str REDI
oai_identifier_str oai:redi.anii.org.uy:20.500.12381/5468
publishDate 2025
reponame_str REDI
repository.mail.fl_str_mv jmaldini@anii.org.uy
repository.name.fl_str_mv REDI - Agencia Nacional de Investigación e Innovación
repository_id_str 9421
rights_invalid_str_mv Reconocimiento 4.0 Internacional. (CC BY)
Acceso abierto
spelling Reconocimiento 4.0 Internacional. (CC BY)Acceso abiertoinfo:eu-repo/semantics/openAccess2026-03-23T17:37:35Z2026-03-23T17:37:35Z2025-07-27https://hdl.handle.net/20.500.12381/5468FMV_3_2024_1_180759Computer vision techniques have emerged as a reliable approach for estimating gait kinematics. However, the estimation of center of mass (CoM) energetic parameters using markerless methods remains unvalidated. This study assessed the accuracy of this techniques in estimating CoM energetic parameters by comparing them to a gold-standard motion capture system. Six subjects walked at different speeds on a treadmill while being recorded using both methods. CoM energetic parameters were computed and analysed to determine the error between approaches. Results showed relative errors below 5% for energy recovery during walking, suggesting that computer vision techniques hold promise for estimating CoM energetic parameters in gait analysis.Agencia Nacional de Investigación e Innovaciónenghttps://hdl.handle.net/20.500.12381/5485https://hdl.handle.net/20.500.12381/5486XXX Congress of the International Society of Biomechanics. Estocolmo, Suecia, 2025reponame:REDIinstname:Agencia Nacional de Investigación e Innovacióninstacron:Agencia Nacional de Investigación e InnovaciónMarkerless systemsGait analysisCiencias Naturales y ExactasCiencias BiológicasBiofísicaIngeniería y TecnologíaIngeniería MédicaEvaluation of center of mass energetics during locomotion using computer visionDocumento de conferenciaRevisadoinfo:eu-repo/semantics/updatedVersioninfo:eu-repo/semantics/conferenceObjectUniversidad de la República. Centro Universitario Región Litoral NortePrograma de Desarrollo de las Ciencias Básicas//Ciencias Naturales y Exactas/Ciencias Biológicas/Biofísica//Ingeniería y Tecnología/Ingeniería MédicaYelós Tellagorry, VanessaPequera, GermánBiancardi, CarloLICENSElicense.txtlicense.txttext/plain; charset=utf-84967https://redi.anii.org.uy/jspui/bitstream/20.500.12381/5468/2/license.txta4ce09f01b5dd771727aa05c73851623MD52ORIGINALISB2025_Yelos_etal.pdfISB2025_Yelos_etal.pdfapplication/pdf113295https://redi.anii.org.uy/jspui/bitstream/20.500.12381/5468/1/ISB2025_Yelos_etal.pdf9d1dddd0a858429fbdc9aa65ac833bc8MD5120.500.12381/54682026-03-26 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Institucionalhttps://redi.anii.org.uy/Gobiernohttps://www.anii.org.uy/https://redi.anii.org.uy/oai/requestjmaldini@anii.org.uyUruguayopendoar:94212026-03-26T13:58:59REDI - Agencia Nacional de Investigación e Innovaciónfalse
spellingShingle Evaluation of center of mass energetics during locomotion using computer vision
Yelós Tellagorry, Vanessa
Markerless systems
Gait analysis
Ciencias Naturales y Exactas
Ciencias Biológicas
Biofísica
Ingeniería y Tecnología
Ingeniería Médica
status_str updatedVersion
title Evaluation of center of mass energetics during locomotion using computer vision
title_full Evaluation of center of mass energetics during locomotion using computer vision
title_fullStr Evaluation of center of mass energetics during locomotion using computer vision
title_full_unstemmed Evaluation of center of mass energetics during locomotion using computer vision
title_short Evaluation of center of mass energetics during locomotion using computer vision
title_sort Evaluation of center of mass energetics during locomotion using computer vision
topic Markerless systems
Gait analysis
Ciencias Naturales y Exactas
Ciencias Biológicas
Biofísica
Ingeniería y Tecnología
Ingeniería Médica
url https://hdl.handle.net/20.500.12381/5468